Triple
T9989610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urdu literature |
E196850
|
entity |
| Predicate | hasInstitutionalSupportIn |
P64535
|
FINISHED |
| Object | universities in Pakistan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: universities in Pakistan | Statement: [Urdu literature, hasInstitutionalSupportIn, universities in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionalSupportIn Context triple: [Urdu literature, hasInstitutionalSupportIn, universities in Pakistan]
-
A.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
-
B.
hasInstitutions
chosen
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
C.
hasInstitutionalCharacter
Indicates that something possesses qualities, status, or attributes associated with a formal institution or institutional framework.
-
D.
hasInstitutionalControl
Indicates that one entity exercises formal authority, governance, or decision-making power over an institution or organizational body.
-
E.
hasInstitutionalFocus
Indicates that an entity is oriented toward, concerned with, or primarily engaged in matters related to a particular institution or type of institution.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdc79f3df08190ab3094ad1cd5490f |
completed | April 2, 2026, 1:34 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.